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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-6988) Add Apache Kafka 0.11 connector
Date Wed, 19 Jul 2017 07:12:00 GMT

    [ https://issues.apache.org/jira/browse/FLINK-6988?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16092694#comment-16092694
] 

ASF GitHub Bot commented on FLINK-6988:
---------------------------------------

Github user tzulitai commented on a diff in the pull request:

    https://github.com/apache/flink/pull/4239#discussion_r128163984
  
    --- Diff: flink-connectors/flink-connector-kafka-0.11/src/main/java/org/apache/flink/streaming/connectors/kafka/FlinkKafkaProducer011.java
---
    @@ -0,0 +1,818 @@
    +/*
    + * Licensed to the Apache Software Foundation (ASF) under one or more
    + * contributor license agreements.  See the NOTICE file distributed with
    + * this work for additional information regarding copyright ownership.
    + * The ASF licenses this file to You under the Apache License, Version 2.0
    + * (the "License"); you may not use this file except in compliance with
    + * the License.  You may obtain a copy of the License at
    + *
    + *    http://www.apache.org/licenses/LICENSE-2.0
    + *
    + * Unless required by applicable law or agreed to in writing, software
    + * distributed under the License is distributed on an "AS IS" BASIS,
    + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    + * See the License for the specific language governing permissions and
    + * limitations under the License.
    + */
    +
    +package org.apache.flink.streaming.connectors.kafka;
    +
    +import org.apache.flink.api.common.functions.RuntimeContext;
    +import org.apache.flink.api.java.ClosureCleaner;
    +import org.apache.flink.api.java.typeutils.GenericTypeInfo;
    +import org.apache.flink.configuration.Configuration;
    +import org.apache.flink.metrics.MetricGroup;
    +import org.apache.flink.runtime.util.SerializableObject;
    +import org.apache.flink.streaming.api.datastream.DataStream;
    +import org.apache.flink.streaming.api.datastream.DataStreamSink;
    +import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
    +import org.apache.flink.streaming.api.functions.sink.TwoPhaseCommitSinkFunction;
    +import org.apache.flink.streaming.api.operators.StreamSink;
    +import org.apache.flink.streaming.api.operators.StreamingRuntimeContext;
    +import org.apache.flink.streaming.connectors.kafka.internal.FlinkKafkaProducer;
    +import org.apache.flink.streaming.connectors.kafka.internal.metrics.KafkaMetricMuttableWrapper;
    +import org.apache.flink.streaming.connectors.kafka.partitioner.FlinkFixedPartitioner;
    +import org.apache.flink.streaming.connectors.kafka.partitioner.FlinkKafkaDelegatePartitioner;
    +import org.apache.flink.streaming.connectors.kafka.partitioner.FlinkKafkaPartitioner;
    +import org.apache.flink.streaming.runtime.streamrecord.StreamRecord;
    +import org.apache.flink.streaming.util.serialization.KeyedSerializationSchema;
    +import org.apache.flink.streaming.util.serialization.KeyedSerializationSchemaWrapper;
    +import org.apache.flink.streaming.util.serialization.SerializationSchema;
    +import org.apache.flink.util.ExceptionUtils;
    +import org.apache.flink.util.NetUtils;
    +
    +import org.apache.kafka.clients.producer.Callback;
    +import org.apache.kafka.clients.producer.Producer;
    +import org.apache.kafka.clients.producer.ProducerConfig;
    +import org.apache.kafka.clients.producer.ProducerRecord;
    +import org.apache.kafka.clients.producer.RecordMetadata;
    +import org.apache.kafka.common.Metric;
    +import org.apache.kafka.common.MetricName;
    +import org.apache.kafka.common.PartitionInfo;
    +import org.apache.kafka.common.serialization.ByteArraySerializer;
    +import org.slf4j.Logger;
    +import org.slf4j.LoggerFactory;
    +
    +import javax.annotation.Nullable;
    +
    +import java.io.Serializable;
    +import java.util.ArrayList;
    +import java.util.Collections;
    +import java.util.Comparator;
    +import java.util.HashMap;
    +import java.util.List;
    +import java.util.Map;
    +import java.util.Properties;
    +import java.util.UUID;
    +import java.util.concurrent.atomic.AtomicLong;
    +
    +import static java.util.Objects.requireNonNull;
    +
    +/**
    + * Flink Sink to produce data into a Kafka topic. This producer is compatible with Kafka
0.11.x. By default producer
    + * will use {@link Semantic.EXACTLY_ONCE} semantic.
    + *
    + * <p>Implementation note: This producer is a hybrid between a regular regular
sink function (a)
    + * and a custom operator (b).
    + *
    + * <p>For (a), the class implements the SinkFunction and RichFunction interfaces.
    + * For (b), it extends the StreamTask class.
    + *
    + * <p>Details about approach (a):
    + *  Pre Kafka 0.11 producers only follow approach (a), allowing users to use the producer
using the
    + *  DataStream.addSink() method.
    --- End diff --
    
    "Pre Kafka 0.11 producers only follow approach (a)" is incorrect.
    Kafka 0.10 also supports hybrid.


> Add Apache Kafka 0.11 connector
> -------------------------------
>
>                 Key: FLINK-6988
>                 URL: https://issues.apache.org/jira/browse/FLINK-6988
>             Project: Flink
>          Issue Type: Improvement
>          Components: Kafka Connector
>    Affects Versions: 1.3.1
>            Reporter: Piotr Nowojski
>            Assignee: Piotr Nowojski
>
> Kafka 0.11 (it will be released very soon) add supports for transactions. Thanks to that,
Flink might be able to implement Kafka sink supporting "exactly-once" semantic. API changes
and whole transactions support is described in [KIP-98|https://cwiki.apache.org/confluence/display/KAFKA/KIP-98+-+Exactly+Once+Delivery+and+Transactional+Messaging].
> The goal is to mimic implementation of existing BucketingSink. New FlinkKafkaProducer011
would 
> * upon creation begin transaction, store transaction identifiers into the state and would
write all incoming data to an output Kafka topic using that transaction
> * on `snapshotState` call, it would flush the data and write in state information that
current transaction is pending to be committed
> * on `notifyCheckpointComplete` we would commit this pending transaction
> * in case of crash between `snapshotState` and `notifyCheckpointComplete` we either abort
this pending transaction (if not every participant successfully saved the snapshot) or restore
and commit it. 



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